Control Systems Safety Evaluation & Reliability explains how engineers measure and improve the safety and reliability of control systems used in process industries. It explores how failures occur (stress versus strength), and how to model and measure reliability and safety using tools such as probability, histograms, fault trees, reliability block diagrams and Markov models. Furthermore, it examines how diagnostics, common-cause failures and software faults impact system performance.
This book guides readers through practical tools, including failure modes and effects analysis (FMEA) and failure modes, effects and diagnostic analysis (FMEDA), as well as software reliability models and lifecycle costing. It balances theory with real-world examples, demonstrating how to build effective models, compare architectures and estimate the financial impact of design choices.
Overall, it serves as a practical reference for students and practitioners aiming to understand and evaluate control system safety quantitatively.
